Arne Juette

530 total citations
21 papers, 347 citations indexed

About

Arne Juette is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Arne Juette has authored 21 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Arne Juette's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Breast Cancer Treatment Studies (4 papers). Arne Juette is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Breast Cancer Treatment Studies (4 papers). Arne Juette collaborates with scholars based in United Kingdom, Spain and Sudan. Arne Juette's co-authors include Reyer Zwiggelaar, Erika Denton, Robert Martí, Moi Hoon Yap, Manu Goyal, Fatima Osman, Arnau Oliver, Peter Hogg, Andoni P. Toms and Chitrangada Singh and has published in prestigious journals such as Radiology, Annals of Surgical Oncology and Breast Cancer Research.

In The Last Decade

Arne Juette

16 papers receiving 339 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arne Juette United Kingdom 8 246 199 72 61 55 21 347
Yan‐Wei Lee Taiwan 7 329 1.3× 304 1.5× 76 1.1× 56 0.9× 39 0.7× 12 439
Leona Katsuta Japan 11 298 1.2× 374 1.9× 61 0.8× 55 0.9× 67 1.2× 20 473
Ruimei Chai China 13 187 0.8× 320 1.6× 41 0.6× 62 1.0× 42 0.8× 24 408
Jincao Yao China 10 156 0.6× 247 1.2× 53 0.7× 48 0.8× 33 0.6× 68 424
Ran Gu China 12 122 0.5× 136 0.7× 113 1.6× 47 0.8× 46 0.8× 30 328
Yao‐Sian Huang Taiwan 8 157 0.6× 206 1.0× 49 0.7× 76 1.2× 47 0.9× 12 288
Mehmet Ufuk Dalmış Netherlands 9 253 1.0× 367 1.8× 37 0.5× 64 1.0× 45 0.8× 10 433
Nassim Bouteldja Germany 11 125 0.5× 148 0.7× 105 1.5× 75 1.2× 58 1.1× 15 397
Bingjiang Qiu China 12 149 0.6× 194 1.0× 104 1.4× 48 0.8× 120 2.2× 23 484
Alessia Angela Maria Orlando Italy 10 213 0.9× 224 1.1× 35 0.5× 42 0.7× 38 0.7× 18 314

Countries citing papers authored by Arne Juette

Since Specialization
Citations

This map shows the geographic impact of Arne Juette's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arne Juette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arne Juette more than expected).

Fields of papers citing papers by Arne Juette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arne Juette. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arne Juette. The network helps show where Arne Juette may publish in the future.

Co-authorship network of co-authors of Arne Juette

This figure shows the co-authorship network connecting the top 25 collaborators of Arne Juette. A scholar is included among the top collaborators of Arne Juette based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arne Juette. Arne Juette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Payne, Nicholas Roy, Yuan Huang, Joshua Kaggie, et al.. (2025). Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening Program. Radiology. 317(1). e250391–e250391.
2.
Hickman, Sarah, Nicholas Roy Payne, Yuan Huang, et al.. (2024). Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers. Radiology. 313(2). e233147–e233147. 2 indexed citations
3.
Juette, Arne, et al.. (2023). Radio-frequency identification (RFID) tag localisation of non-palpable breast lesions a single centre experience. The Breast. 69. 417–421. 6 indexed citations
4.
Hickman, Sarah, Nicholas Roy Payne, Yuan Huang, et al.. (2023). Mammography Breast Cancer Screening Triage Using Deep Learning: A UK Retrospective Study. Radiology. 309(2). 13 indexed citations
5.
6.
7.
Yap, Moi Hoon, Manu Goyal, Fatima Osman, et al.. (2020). Breast ultrasound region of interest detection and lesion localisation. Artificial Intelligence in Medicine. 107. 101880–101880. 99 indexed citations
8.
Lewin, John, Jacqueline Bernard, Simon Cawthorn, et al.. (2018). Phase 2 Open-Label Trial Investigating Percutaneous Laser Ablation for Treatment of Early-Stage Breast Cancer: MRI, Pathology, and Outcome Correlations. Annals of Surgical Oncology. 25(10). 2958–2964. 30 indexed citations
9.
Yap, Moi Hoon, Manu Goyal, Fatima Osman, et al.. (2018). Breast ultrasound lesions recognition: end-to-end deep learning approaches. Journal of Medical Imaging. 6(1). 1–1. 92 indexed citations
10.
Osman, Fatima, Robert Martí, Reyer Zwiggelaar, et al.. (2018). End-to-end breast ultrasound lesions recognition with a deep learning approach. 7259. 44–44. 24 indexed citations
11.
Petridou, Eleni, Paul Malcolm, Andoni P. Toms, et al.. (2017). Breast fat volume measurement using wide-bore 3 T MRI: comparison of traditional mammographic density evaluation with MRI density measurements using automatic segmentation. Clinical Radiology. 72(7). 565–572. 7 indexed citations
12.
Hogg, Peter, et al.. (2015). Breast image pre-processing for mammographic tissue segmentation. Computers in Biology and Medicine. 67. 61–73. 14 indexed citations
13.
Juette, Arne, et al.. (2015). A Review on Automatic Mammographic Density and Parenchymal Segmentation. International Journal of Breast Cancer. 2015. 1–31. 37 indexed citations
14.
Juette, Arne, et al.. (2014). A Novel Breast Image Preprocessing For Full Field Digital Mammographic Segmentation and Risk Classification.. 79–84. 2 indexed citations
15.
Juette, Arne, et al.. (2011). Lumbar lordosis and pars interarticularis fractures: a case–control study. Skeletal Radiology. 41(7). 817–822. 11 indexed citations
16.
Juette, Arne & H Oehring. (1971). Gas gangrene of the eye.. BMJ. 2(5759). 419.2–420. 1 indexed citations
17.
Juette, Arne. (1965). [ON THE TECHNIC OF DEMONSTRATION OF MELANOBLASTOMA IN THE POSTERIOR BULBAR SEGMENT WITH P32].. PubMed. 146. 337–43.
18.
Juette, Arne, et al.. (1965). [FLUORESCEIN PHOTOGRAPHY OF THE OCULAR FUNDUS].. PubMed. 146. 578–81. 1 indexed citations
19.
Juette, Arne, et al.. (1962). [On the diagnosis of intraocular tumors with radioactive phosphorus].. PubMed. 140. 313–23. 1 indexed citations
20.
Juette, Arne. (1961). [Thrombosis of the internal carotid artery in hyalinosis of the skin and mucous membrane].. PubMed. 64. 459–65. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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